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Supporting the development of Multimodal Medical Image Analysis solution based on AI

Consulting
Pricing/Discount Options: Call #2
Unique Identifier: ba0f245e-4e06-4b94-8212-480a442b018a

Service Description

Help to select and to use advanced deep learning algorithms to create custom and trustworthy AI models for medical image analysis (e.g. classification, segmentation, feature extraction, anomaly localization). Depending on the modality to be processed, we propose advanced deep learning architectures (CNN, LSTM, ViT, etc.) by selecting the best approach for the task to be performed (classification, localisation, segmentation, etc.). Keywords: Medical Image Analysis; Deep Learning Algorithms; Binary Classification; Anomaly Localization; AI Model Development; Real-World Images; AI Testing and Validation; Collaboration with Medical Staff; AI Expertise; Custom Pretrained Pipelines; Clinical Imaging; Image Segmentation; Image Feature Extraction; Trustworthy AI

Offerings: Research & Development Model & Algorithm (Development, Optimization & Evaluation, etc.)
TEF-Health Use Case Domain: all
Provider Logo

Provider & Contact

Provider Organisation Centre D'Excellence En Technologies De L'Information Et De La Communication (CETIC)
Provider Country Belgium
Published Email tef-health-services@cetic.be

Pricing is available to registered users. SMEs receive significant state-aid reductions (GBER) — or, depending on the call, free services during the funded project. Sign in or register to see the price for your organisation.

Operational Details

Service Inputs Dataset labelled
Service Outputs AI Models.
Dependencies & Restrictions GDPR
Comments No submission Code since I'm curating the information on the last version of the Excel catalogue

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